InTDS ArchivebyPaul LevchukAn enhanced version of the analysis of how product features impact retentionA simple and powerful approach to segmenting your product features into Core, Power, and Casual.Oct 3, 20221Oct 3, 20221
Lilia's Product HubRetention Day 1 Lies — Here’s How to Customise Retention to Your Product NeedsLet’s discuss how to define proper Retention metrics to measure your customers’ retention more accurately.Oct 2, 20223Oct 2, 20223
Diksha Patro B10 Popular Product Frameworks — A brief guideThis is beginner-friendly and everything is super summarized here but all the important keywords for almost all popular frameworks are…Jul 27, 20226Jul 27, 20226
InTDS ArchivebyTDS EditorsHow to Build Successful Data TeamsOur weekly selection of must-read Editors’ Picks and original featuresJul 21, 2022Jul 21, 2022
InNyblesbycyber-venom003Modern Data Stack for Startups“Use the right tool for the job!”Jan 8, 202210Jan 8, 202210
InITNEXTbyMartin HeinzGoodbye, Google Analytics - Why and How You Should Leave The PlatformIt’s time to say goodbye to Google Analytics platform and migrate to better solution before it’s too lateApr 19, 2022Apr 19, 2022
InAnalytically YoursbyBruno AzizaHow To Measure the ROI of Data AnalyticsIs Thinking the Enemy of Innovation | New Data Engineering Book | What To Do When Scaling Your Data TeamApr 3, 2022Apr 3, 2022
InSeattleDataGuy By SeattleDataGuybyBen Rogojan20 Questions You Need To Ask About Your Data Analytics StrategyPhoto by Maarten van den Heuvel on UnsplashMay 6, 20223May 6, 20223
PrukalpaFuture of the Metrics Layer with Drew Banin (dbt) and Nick Handel (Transform)Hot takes on what we get wrong about the metrics layer and where it fits in the modern data stackMay 19, 20221May 19, 20221
InKyligencebyJoanna HeDemystifying the Metrics Store and Semantic LayerThis article aims to demystify metrics stores and semantic layers to help you understand the similarities and differences between the two.Jun 21, 2022Jun 21, 2022
Ijeoma Onwuka10 Metrics every Product Manager should know, understand and optimize.Product metrics are data that captures the various ways customers or users interact with your product and show how those interactions…May 23, 2022May 23, 2022
InThe Mightier PenbyMax Klein7 Times Good Bosses Stay QuietSometimes silence speaks louder than words.Jul 13, 202210Jul 13, 202210
InThe Product PlaybookbyProduct PlayerKey product metrics for appsIt is increasingly common to hear people from different industries talk about metrics and how understanding them is important to doing a…Jun 24, 2022Jun 24, 2022
Alexandre BeauvoisData Platforms: The PresentThe Evolution of Data PlatformsJun 10, 20221Jun 10, 20221
InAgile InsiderbyVikram GoyalHow can Product Managers think about Feature AnalyticsA framework to help you analyze feature usage betterApr 20, 20221Apr 20, 20221
Userpilot TeamAdoption vs Engagement Metrics: What’s the Difference and How To Improve Both?Mar 30, 2022Mar 30, 2022
InBootcampbyIan KhorHow To Write An Epic Like A Product ManagerLearn how to communicate a large piece of work with your squad effectively through an Epic.Jul 5, 20226Jul 5, 20226
Vincent HoogstederDeveloping an open standard for analytics tracking, so models can be sharedIn early 2021, our team of long-time data geeks started on the development of an open analytics taxonomy. The goal: to come up with a…Jul 7, 2022Jul 7, 2022
InProduct CoalitionbyShehab BeramUnderstanding Customer Needs: The ‘Jobs-to-be-Done’ (JTBD) FrameworkThe truth of the hour is: Come what may, companies/products succeed because they offer a service that a customer truly wants!Jul 8, 20224Jul 8, 20224
Dhanashree_kulkarniDatabase NormalizationHey guys!! In this blog let’s learn about “Normalization”, one of the most essential concepts of Data Base Management System (DBMS).Jun 4, 2022Jun 4, 2022
